A Python package for acoustic wave scattering based on the T-matrix method
Project description
acoustotreams
The package acoustotreams adopts the framework of the treams package for acoustic wave scattering in finite and periodic arrangements of particles, based on the T-matrix method.
Installation
Installation using pip
To install the package with pip, use
pip install acoustotreams
Preliminarily, you have to also install original treams as well as numpy and scipy
pip install treams
Documentation
The documentation can be found at https://NikUstimenko.github.io/acoustotreams.
Publications
When using this code please cite:
Features
- T-matrix calculations using a spherical or cylindrical wave basis set
- Scattering from clusters of particles
- Scattering from particles and clusters arranged in 3d-, 2d-, and 1d-lattices
- Calculation of sound propagation in stratified media
- Band calculation in crystal structures
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file acoustotreams-0.1.44.tar.gz.
File metadata
- Download URL: acoustotreams-0.1.44.tar.gz
- Upload date:
- Size: 42.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3af197ea2d168eec335a19394ececff2ff3019f22eca8ed28a86122184ac7e61
|
|
| MD5 |
d868363f9506ed0bcaeaa1bda1149bce
|
|
| BLAKE2b-256 |
c44de698e7a5212a9430cbde3c24bfbb0cbfdb4e3d5b197bc3c34cddcf5f45b0
|
File details
Details for the file acoustotreams-0.1.44-py3-none-any.whl.
File metadata
- Download URL: acoustotreams-0.1.44-py3-none-any.whl
- Upload date:
- Size: 48.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0fb0f0b43ac9e7c7fac602f5fbbe5becf1624a656c2cbad1e138bbffd27ca9f7
|
|
| MD5 |
43e00db907874e5fe4a3f91506c69a18
|
|
| BLAKE2b-256 |
a28aad16ad3c6ee391bd8b65be0afc6d5677c49dc5b0abd4c3cafd2c825ede9a
|
